World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10139
World Ranking
6147
National Ranking
193

Wei Gao publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wei Gao sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 250 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Wei Gao D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wei Gao sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Wei Gao is affiliated with the University of New South Wales in Australia and specializes in Computer Science with a focus on Artificial Intelligence. Their work spans various subfields including Sociology and Political Science, Molecular Biology, Information Systems, and Computer Vision and Pattern Recognition.

The scientist's research interests include several specific topics such as:

  • Misinformation and Its Impacts
  • Topic Modeling
  • Receptor Mechanisms and Signaling
  • Spam and Phishing Detection
  • Sentiment Analysis and Opinion Mining
  • Complex Network Analysis Techniques
  • Hate Speech and Cyberbullying Detection

Wei Gao has contributed to a number of academic papers over recent years. Key publications include:

  • "Towards convergence rate analysis of random forests for classification," 2022, Artificial Intelligence
  • "An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks," 2020, ACM Transactions on Intelligent Systems and Technology
  • "Cryo-EM structure of G-protein-coupled receptor GPR17 in complex with inhibitory G protein," 2022, MedComm
  • "Detecting fake news in social media," 2020, Communications of the ACM
  • "Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning," 2021, IEEE Transactions on Knowledge and Data Engineering

The scientist collaborates frequently with several coauthors, including Jing Ma, Geng Chen, Zhiyi Zhang, Binghao Zhang, and Jiancheng Li. These collaborations have produced multiple publications that contribute to the fields of misinformation detection and machine learning.

Wei Gao's research has been published primarily in outlets with a strong emphasis on interdisciplinary and technical topics. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Psycholinguistic Research
  • 2021 Power System and Green Energy Conference (PSGEC)
  • ACM Transactions on Intelligent Systems and Technology
  • MedComm

Best Publications

  • Detecting rumors from microblogs with recurrent neural networks

    Jing Ma;Wei Gao;Prasenjit Mitra;Sejeong Kwon

  • Detect Rumors Using Time Series of Social Context Information on Microblogging Websites

    Jing Ma;Wei Gao;Zhongyu Wei;Yueming Lu

  • Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning

    Jing Ma;Wei Gao;Kam Fai Wong

  • Rumor Detection on Twitter with Tree-structured Recursive Neural Networks

    Jing Ma;Wei Gao;Kam-Fai Wong

  • Nonlinear vibration and dynamic buckling analyses of sandwich functionally graded porous plate with graphene platelet reinforcement resting on Winkler–Pasternak elastic foundation

    Qingya Li;Di Wu;Xiaojun Chen;Lei Liu

  • Nonlinear free vibration of functionally graded graphene platelets reinforced porous nanocomposite plates resting on elastic foundation

    Kang Gao;Wei Gao;Da Chen;Jie Yang

  • Detect Rumor and Stance Jointly by Neural Multi-task Learning

    Jing Ma;Wei Gao;Kam-Fai Wong

  • Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning

    Jing Ma;Wei Gao;Kam-Fai Wong

  • Probabilistic interval analysis for structures with uncertainty

    Wei Gao;Chongmin Song;Francis Tin-Loi

  • Nonlinear primary resonance of functionally graded porous cylindrical shells using the method of multiple scales

    Kang Gao;Wei Gao;Binhua Wu;Di Wu

  • Isogeometric Analysis of functionally graded porous plates reinforced by graphene platelets

    Keyan Li;Di Wu;Xiaojun Chen;Jin Cheng

  • A definition and evaluation procedure of generalized stress intensity factors at cracks and multi-material wedges

    Chongmin Song;Francis Tin-Loi;Wei Gao

  • Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method

    Wei Gao;Di Wu;Chongmin Song;Francis Tin-Loi

  • Dynamic analysis of functionally graded porous structures through finite element analysis

    Di Wu;Di Wu;Airong Liu;Youqin Huang;Yonghui Huang

  • Nonlinear behaviour and stability of functionally graded porous arches with graphene platelets reinforcements

    Zhanpeng Liu;Chengwei Yang;Wei Gao;Di Wu

  • A unified 3D‐based technique for plate bending analysis using scaled boundary finite element method

    H. Man;C. Song;W. Gao;F. Tin-Loi

  • Topology optimization of structures using meshless density variable approximants

    Zhen Luo;Nong Zhang;Yu Wang;Wei Gao

  • Low-discrepancy sequence initialized particle swarm optimization algorithm with high-order nonlinear time-varying inertia weight

    Chengwei Yang;Wei Gao;Nengguang Liu;Chongmin Song

  • Natural frequency and mode shape analysis of structures with uncertainty

    Wei Gao

  • Shear resistance and post-buckling behavior of corrugated panels in steel plate shear walls

    Chao Dou;Yong-Lin Pi;Wei Gao

  • Joint topic modeling for event summarization across news and social media streams

    Wei Gao;Peng Li;Kareem Darwish

  • Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities

    Lanjun Zhou;Binyang Li;Wei Gao;Zhongyu Wei

  • Cross-lingual query suggestion using query logs of different languages

    Wei Gao;Cheng Niu;Jian-Yun Nie;Ming Zhou

  • Optimal placement of active bars in active vibration control for piezoelectric intelligent truss structures with random parameters

    W. Gao;J.J. Chen;H.B. Ma;X.S. Ma

  • Phoneme-Based transliteration of foreign names for OOV problem

    Wei Gao;Kam-Fai Wong;Wai Lam

  • Tweet Sentiment: From Classification to Quantification

    Wei Gao;Fabrizio Sebastiani

  • Hybrid uncertain static analysis with random and interval fields

    Di Wu;Wei Gao

  • Detect rumors using time series of social context information on microblogging

    Jing Ma;Wei Gao;Zhongyu Wei;Yueming Lu

Frequent Co-Authors

Chongmin Song
Chongmin Song University of New South Wales
Kam-Fai Wong
Kam-Fai Wong Chinese University of Hong Kong
Francis Tin-Loi
Francis Tin-Loi University of New South Wales
Yong-Lin Pi
Yong-Lin Pi Guangzhou University
Nong Zhang
Nong Zhang University of Technology Sydney
Zhongyu Wei
Zhongyu Wei Fudan University
Michael Beer
Michael Beer University of Liverpool
Guoyin Li
Guoyin Li University of New South Wales
Mark A. Bradford
Mark A. Bradford University of New South Wales
Yuan Feng
Yuan Feng Tsinghua University

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